Remote sensing system for wind turbines

Patent metadata

Field	Value
Publication number	US-9587625-B2
Application number	US-201214129592-A
Country	US
Kind code	B2
Filing date	Jun 29, 2012
Priority date	Jun 30, 2011
Publication date	Mar 7, 2017
Grant date	Mar 7, 2017

Abstract

Embodiments of the invention generally relate to using remote sensing equipment such as a Light Detection and Ranging (LIDAR) device to detect wind characteristics for use by wind turbines of a wind park. A wind park controller may received raw wind data from the remote sensing device and determine one or more turbines that can use the raw wind data. The raw wind data may be converted to customized data for each of the one or more wind turbines. Upon being provided the customized wind data, the one or more wind turbines may adjust one or more operational characteristics to improve power production or avoid damage to turbine components.

First claim

What is claimed is:

1. A computer implemented method comprising:
receiving raw wind data from a remote sensing device located remotely from a plurality of wind turbines in a wind farm;
determining a subset of the plurality of wind turbines to which the raw wind data is relevant based on the raw wind data and positions of the plurality of wind turbines;
determining customized wind data for each of the subset of the plurality of wind turbines; and
transmitting the customized wind data respectively to each of the subset of the plurality of wind turbines, wherein each of the subset of the plurality of wind turbines adjusts one or more operational parameters based on the customized wind data.

2. The method of claim 1 , wherein the raw wind data comprises at least one of:
a line of sight wind velocity measured by a Light Detection and Ranging (LIDAR) device; and
wind direction determined by the LIDAR device.

3. The method of claim 1 , wherein determining customized wind data for each of the subset of the plurality of the wind turbines comprises determining one or more of absolute wind speed, lateral wind speed, axial wind speed, and wind direction for each of the subset of the plurality of the wind turbines.

4. The method of claim 1 , wherein determining customized wind data for each of the subset of the plurality of the wind turbines comprises combining raw wind data from two or more LIDAR devices.

5. The method of claim 1 , wherein determining the subset of the plurality of wind turbines in the wind farm to which the raw wind data is relevant comprises determining that each of the subset of the plurality of the wind turbines are affected by measurements from the remote sensing device.

6. The method of claim 5 , wherein the determining customized wind data comprises determining wind speed or wind direction for each of the subset of the plurality of the wind turbines to which the raw wind data is relevant, based on a location of each of the subset of the plurality of the wind turbines.

7. The method of claim 1 , further comprising receiving wind turbine characteristics from the plurality of the wind turbines, wherein the wind turbine characteristics comprise at least one of yaw position, location of each of the subset of the plurality of the wind turbines in the wind farm, activation data of each of the subset of the plurality of the wind turbines, and deactivation data of each of the subset of the plurality of the wind turbines.

8. A wind park controller, comprising:
a memory device comprising a control algorithm; and
a processor which, when executing the control algorithm, is configured to:
receive raw wind data from a remote sensing device located remotely from a plurality of wind turbines;
determine a subset of a plurality of wind turbines in a wind farm to which the raw wind data is relevant based on the raw wind data and positions of the plurality of wind turbines;
determine customized wind data for each of the subset of plurality of the wind turbines; and
transmit the customized wind data respectively to each of the subset of the plurality of the wind turbines, wherein each of the subset of the plurality of wind turbines adjusts one or more operational parameters based on the customized wind data.

9. The wind park controller of claim 8 , wherein the raw wind data comprises at least one of:
a line of sight wind velocity measured by a Light Detection and Ranging (LIDAR) device; and
wind direction determined by the LIDAR device.

10. The wind park controller of claim 8 , wherein the processor is configured to determine customized wind data for each of the subset of the plurality of the wind turbines by determining one or more of absolute wind speed, lateral wind speed, axial wind speed, and wind direction for each of the subset of the plurality of the wind turbines.

11. The wind park controller of claim 8 , wherein the processor if configured to determine customized wind data for each of the subset of the plurality of the wind turbines by combining raw wind data from two or more LIDAR devices.

12. The wind park controller of claim 8 , wherein the processor is configured to determine that each of the subset of the plurality of wind turbines are affected by measurements from the remote sensing device, and
wherein the processor is configured to determine wind speed or wind direction for each of the subset of the plurality of the wind turbines to which the raw wind data is relevant, based on location of each of the subset of the plurality of the wind turbines.

13. The wind park controller of claim 8 , wherein the processor is further configured to receive wind turbine characteristics from the plurality of the wind turbines, wherein the wind turbine characteristics comprise at least one of yaw position, location of each of the subset of the plurality of the wind turbines in the wind farm, activation data of each of the subset of the plurality of the wind turbines, and deactivation data of each of the subset of the plurality of the wind turbines.

14. A wind power plant, comprising:
a plurality of wind turbines;
a wind park controller; and
at least one remote sensing device located remotely from the plurality of wind turbines, wherein the wind park controller is configured to:
receive raw wind data from the remote sensing device;
determine a subset of wind turbines of the plurality of wind turbines to which the raw wind data is relevant based on the raw wind data and positions of turbines in the plurality of turbines;
determine customized wind data for each of the subset of wind turbines of the plurality of wind turbines; and
transmit the customized wind data respectively to each of the subset of wind turbines of the plurality of wind turbines, wherein each of the subset of the plurality of wind turbines adjusts one or more operational parameters based on the customized wind data.

15. The wind power plant of claim 14 , wherein the raw wind data comprises at least one of:
a line of sight wind velocity measured by a Light Detection and Ranging (LIDAR) device; and
wind direction determined by the LIDAR device.

16. The wind power plant of claim 14 , wherein the wind park controller is configured to determine customized wind data for each of the subset of wind turbines of the plurality of wind turbines by determining one or more of absolute wind speed, lateral wind speed, axial wind speed, and wind direction for each of the subset of wind turbines of the plurality of wind turbines.

17. The wind power plant of claim 14 , wherein the wind park controller is configured to determine customized wind data for each of the subset of wind turbines of the plurality of wind turbines by combining raw wind data from two or more LIDAR devices.

18. The wind power plant of claim 14 , wherein the wind park controller is further configured to:
determine that each of the subset of wind turbines of the plurality of wind turbines are affected by measurements from the remote sensing device; and
determine wind speed or wind direction for each of the subset of wind turbines of the plurality of the wind turbines to which the raw wind data is relevant, based on location of each of the subset of wind turbines of the plurality of the wind turbines.

Assignees

• Zaib Ali
• Bowyer Robert
• Vestas Wind Sys As

Inventors

• Zaib Ali
• Bowyer Robert

Classifications

• F05B2260/8211

  of the weather · CPC title

• Y02E10/722

  Cross-Sectional Technologies · mapped topic

• F03D7/00 Primary

  Controlling wind motors  (supplying or distributing electrical power H02J, e.g. arrangements for adjusting, eliminating or compensating reactive power in networks H02J3/18; controlling electric generators H02P, e.g. arrangements for controlling electric generators for the purpose of obtaining a desired output H02P9/00) · CPC title

• F03D17/00

  Monitoring or testing of wind motors, e.g. diagnostics (testing during commissioning of wind motors F03D13/30) · CPC title

• Y02E10/723

  Cross-Sectional Technologies · mapped topic